Oaklisp: an Object-Oriented Scheme with First Class Types. - Kevin J. Lang; Barak A. Pearlmutter (OOPSLA, 1986)

Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II. - Kenneth Y. Goldberg; Barak A. Pearlmutter (NIPS, 1988)

Oaklisp: An Object-Oriented Dialect of Scheme. - Kevin J. Lang; Barak A. Pearlmutter (LISP Symb. Comput., 1988)

Learning State Space Trajectories in Recurrent Neural Networks. - Barak A. Pearlmutter (Neural Comput., 1989)

Chaitin-Kolmogorov Complexity and Generalization in Neural Networks. - Barak A. Pearlmutter; Ronald Rosenfeld (NIPS, 1990)

Gradient Descent: Second Order Momentum and Saturating Error. - Barak A. Pearlmutter (NIPS, 1991)

Automatic Learning Rate Maximization in Large Adaptive Machines. - Yann LeCun; Patrice Y. Simard; Barak A. Pearlmutter (NIPS, 1992)

Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply]. - Barak A. Pearlmutter; P. Sanatchandran (IEEE Trans. Neural Networks, 1992)

Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret. - Joe Kilian; Kevin J. Lang; Barak A. Pearlmutter (COLT, 1994)

Simplifying Neural Network Soft Weight-sharing Measures by Soft Weight-measure Soft Weight Sharing. - Barak A. Pearlmutter (Connect. Sci., 1994)

Fast Exact Multiplication by the Hessian. - Barak A. Pearlmutter (Neural Comput., 1994)

Time-Skew Hebb rule in a nonisopotential neuron. - Barak A. Pearlmutter (Neural Comput., 1995)

Gradient calculations for dynamic recurrent neural networks: a survey. - Barak A. Pearlmutter (IEEE Trans. Neural Networks, 1995)

Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. - Barak A. Pearlmutter; Lucas C. Parra (NIPS, 1996)

Garbage Collection with Pointers to Individual Cells. - Barak A. Pearlmutter (Commun. ACM, 1996)

VC Dimension of an Integrate-and-Fire Neuron Model. - Anthony M. Zador; Barak A. Pearlmutter (Neural Comput., 1996)

Doing the Twist: Diagonal Meshes Are Isomorphic to Twisted Toroidal Meshes. - Barak A. Pearlmutter (IEEE Trans. Computers, 1996)

Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm. - Kevin J. Lang; Barak A. Pearlmutter; Rodney A. Price (ICGI, 1998)

Differentiating Functions of the Jacobian with Respect to the Weights. - Gary William Flake; Barak A. Pearlmutter (NIPS, 1999)

An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task. - Akaysha C. Tang; Barak A. Pearlmutter; Tim A. Hely; Michael Zibulevsky; Michael P. Weisend (NIPS, 1999)

Detecting Intrusions using System Calls: Alternative Data Models. - Christina Warrender; Stephanie Forrest; Barak A. Pearlmutter (S&P, 1999)

Visualizing Communication between Neurons in the Lamina Ganglionaris of Musca domestica. - Karen G. Haines; Kim M. Edlund; Thomas P. Caudell; Barak A. Pearlmutter; John A. Moya (IJCNN (3), 2000)

Blind source separation of multichannel neuromagnetic responses. - Akaysha C. Tang; Barak A. Pearlmutter; Michael Zibulevsky; Scott A. Carter (Neurocomputing, 2000)

Blind Source Separation via Multinode Sparse Representation. - Michael Zibulevsky; Pavel Kisilev; Yehoshua Y. Zeevi; Barak A. Pearlmutter (NIPS, 2001)

Blind Source Separation by Sparse Decomposition in a Signal Dictionary. - Michael Zibulevsky; Barak A. Pearlmutter (Neural Comput., 2001)

Independent Components of Magnetoencephalography: Localization. - Akaysha C. Tang; Barak A. Pearlmutter; Natalie A. Malaszenko; Dan B. Phung; Bethany C. Reeb (Neural Comput., 2002)

Linear Spatial Integration for Single-Trial Detection in Encephalography. - Lucas C. Parra; Christopher V. Alvino; Akaysha C. Tang; Barak A. Pearlmutter; Nick Yeung; Allen Osman; Paul Sajda (NeuroImage, 2002)

Independent Components of Magnetoencephalography: Single-Trial Response Onset Times. - Akaysha C. Tang; Barak A. Pearlmutter; Natalie A. Malaszenko; Dan B. Phung (NeuroImage, 2002)

Filtered Gaussian Processes for Learning with Large Data-Sets. - Jian Qing Shi; Roderick Murray-Smith; D. M. Titterington; Barak A. Pearlmutter (European Summer School on Multi-AgentControl, 2003)

Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron. - Sung Chan Jun; Barak A. Pearlmutter (NIPS, 2003)

Single-trial detection in EEG and MEG: Keeping it linear. - Lucas C. Parra; Christopher V. Alvino; Akaysha C. Tang; Barak A. Pearlmutter; Nick Yeung; Allen Osman; Paul Sajda (Neurocomputing, 2003)

MEG source localization using an MLP with a distributed output representation. - Sung Chan Jun; Barak A. Pearlmutter; Guido Nolte (IEEE Trans. Biomed. Eng., 2003)

Transformations of Gaussian Process Priors. - Roderick Murray-Smith; Barak A. Pearlmutter (Deterministic and Statistical Methods in Machine Learning, 2004)

Soft-LOST: EM on a Mixture of Oriented Lines. - Paul D. O'Grady; Barak A. Pearlmutter (ICA, 2004)

Monaural Source Separation Using Spectral Cues. - Barak A. Pearlmutter; Anthony M. Zador (ICA, 2004)

A normative model of attention: receptive field modulation. - Santiago Jaramillo; Barak A. Pearlmutter (Neurocomputing, 2004)

Bounds on Query Convergence - Barak A. Pearlmutter (CoRR, 2005)

Survey of sparse and non-sparse methods in source separation. - Paul D. O'Grady; Barak A. Pearlmutter; Scott T. Rickard (Int. J. Imaging Syst. Technol., 2005)

A Spectrum of Colors: Investigating the Temporal Frequency Characteristics of the Human Visual System Using a System Identification Approach. - Edmund C. Lalor; Richard B. Reilly; Barak A. Pearlmutter; John J. Foxe (EMBC, 2006)

The VESPA: A method for the rapid estimation of a visual evoked potential. - Edmund C. Lalor; Barak A. Pearlmutter; Richard B. Reilly; Gary McDarby; John J. Foxe (NeuroImage, 2006)

Sparsification for Monaural Source Separation. - Hiroki Asari; Rasmus Kongsgaard Olsson; Barak A. Pearlmutter; Anthony M. Zador (Blind Speech Separation, 2007)

Discovering Convolutive Speech Phones Using Sparseness and Non-negativity. - Paul D. O'Grady; Barak A. Pearlmutter (ICA, 2007)

Lazy multivariate higher-order forward-mode AD. - Barak A. Pearlmutter; Jeffrey Mark Siskind (POPL, 2007)

First-class nonstandard interpretations by opening closures. - Jeffrey Mark Siskind; Barak A. Pearlmutter (POPL, 2007)

Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems. - Santiago Jaramillo; Barak A. Pearlmutter (Neural Comput., 2007)

The LOST Algorithm: Finding Lines and Separating Speech Mixtures. - Paul D. O'Grady; Barak A. Pearlmutter (EURASIP J. Adv. Signal Process., 2008)

Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint. - Paul D. O'Grady; Barak A. Pearlmutter (Neurocomputing, 2008)

Nesting forward-mode AD in a functional framework. - Jeffrey Mark Siskind; Barak A. Pearlmutter (High. Order Symb. Comput., 2008)

Hemodynamics for Brain-Computer Interfaces. - Fiachra Matthews; Barak A. Pearlmutter; Tomas E. Ward; Christopher J. Soraghan; Charles Markham (IEEE Signal Process. Mag., 2008)

Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator. - Barak A. Pearlmutter; Jeffrey Mark Siskind (ACM Trans. Program. Lang. Syst., 2008)

Constructing Time-Frequency Dictionaries for Source Separation via Time-Frequency Masking and Source Localisation. - Ruairí de Fréin; Scott T. Rickard; Barak A. Pearlmutter (ICA, 2009)

A New Hypothesis for Sleep: Tuning for Criticality. - Barak A. Pearlmutter; Conor J. Houghton (Neural Comput., 2009)

Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation. - Míriam R. García; Mark Verwoerd; Barak A. Pearlmutter; Peter Wellstead; Richard H. Middleton (CDC/ECC, 2011)

AD in Fortran, Part 1: Design - Alexey Radul; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2012)

AD in Fortran, Part 2: Implementation via Prepreprocessor - Alexey Radul; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2012)

Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions - Oleksandr Manzyuk; Barak A. Pearlmutter; Alexey Andreyevich Radul; David R. Rush; Jeffrey Mark Siskind (CoRR, 2012)

Block Coordinate Descent for Sparse NMF - Vamsi K. Potluru; Sergey M. Plis; Jonathan Le Roux; Barak A. Pearlmutter; Vince D. Calhoun; Thomas P. Hayes (ICLR (Poster), 2013)

Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. - Andrei Barbu; Daniel Paul Barrett; Wei Chen 134; Siddharth Narayanaswamy; Caiming Xiong; Jason J. Corso; Christiane D. Fellbaum; Catherine Hanson; Stephen José Hanson; Sébastien Hélie; Evguenia Malaia; Barak A. Pearlmutter; et al. (ECCV (5), 2014)

Automatic Differentiation of Algorithms for Machine Learning. - Atilim Gunes Baydin; Barak A. Pearlmutter (CoRR, 2014)

An Analysis of Publication Venues for Automatic Differentiation Research. - Atilim Gunes Baydin; Barak A. Pearlmutter (CoRR, 2014)

Automatic differentiation in machine learning: a survey. - Atilim Gunes Baydin; Barak A. Pearlmutter; Alexey Andreyevich Radul (CoRR, 2015)

DiffSharp: Automatic Differentiation Library. - Atilim Gunes Baydin; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2015)

DiffSharp: An AD Library for .NET Languages. - Atilim Günes Baydin; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2016)

Tricks from Deep Learning. - Atilim Günes Baydin; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2016)

Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD). - Robert Kelly; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2016)

Binomial Checkpointing for Arbitrary Programs with No User Annotation. - Jeffrey Mark Siskind; Barak A. Pearlmutter (CoRR, 2016)

Efficient Implementation of a Higher-Order Language with Built-In AD. - Jeffrey Mark Siskind; Barak A. Pearlmutter (CoRR, 2016)

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. - Haibo He; Nitesh V. Chawla; Huanhuan Chen; Yoonsuck Choe; Andries P. Engelbrecht; Jaya deva; Lyle N. Long; Ali A. Minai; Feiping Nie 001; Umut Ozertem; Barak A. Pearlmutter; Ling Shao 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2016)

Mini-symposium on automatic differentiation and its applications in the financial industry. - Sébastien Geeraert; Charles-Albert Lehalle; Barak A. Pearlmutter; Olivier Pironneau; Adil Reghai (CoRR, 2017)

Automatic Differentiation in Machine Learning: a Survey. - Atilim Gunes Baydin; Barak A. Pearlmutter; Alexey Andreyevich Radul; Jeffrey Mark Siskind (J. Mach. Learn. Res., 2017)

Concurrent Robin Hood Hashing. - Robert Kelly; Barak A. Pearlmutter; Phil Maguire (OPODIS, 2018)

Divide-and-conquer checkpointing for arbitrary programs with no user annotation. - Jeffrey Mark Siskind; Barak A. Pearlmutter (Optim. Methods Softw., 2018)

Automatic Differentiation and Ubiquitous Adaptive Computing. - Barak A. Pearlmutter (AICS, 2019)

Perturbation confusion in forward automatic differentiation of higher-order functions. - Oleksandr Manzyuk; Barak A. Pearlmutter; Alexey Andreyevich Radul; David R. Rush; Jeffrey Mark Siskind (J. Funct. Program., 2019)

Automatic Differentiation of Sketched Regression. - Hang Liao 001; Barak A. Pearlmutter; Vamsi K. Potluru; David P. Woodruff (AISTATS, 2020)

Lock-Free Hopscotch Hashing. - Robert Kelly; Barak A. Pearlmutter; Phil Maguire (APOCS, 2020)

Neural Ordinary Differential Equation based Recurrent Neural Network Model. - Mansura Habiba; Barak A. Pearlmutter (CoRR, 2020)

Neural ODEs for Informative Missingness in Multivariate Time Series. - Mansura Habiba; Barak A. Pearlmutter (CoRR, 2020)

Efficient Distributed Auto-Differentiation. - Bradley T. Baker; Vince D. Calhoun; Barak A. Pearlmutter; Sergey M. Plis (CoRR, 2021)

HeunNet: Extending ResNet using Heun's Methods. - Mehrdad Maleki; Mansura Habiba; Barak A. Pearlmutter (CoRR, 2021)

ECG synthesis with Neural ODE and GAN models. - Mansura Habiba; Eoin Borphy; Barak A. Pearlmutter; Tomás Ward (CoRR, 2021)

Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. - Mansura Habiba; Barak A. Pearlmutter (CoRR, 2021)

Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE. - Mansura Habiba; Barak A. Pearlmutter (CoRR, 2021)

Gradients without Backpropagation. - Atilim Günes Baydin; Barak A. Pearlmutter; Don Syme; Frank Wood; Philip H. S. Torr (CoRR, 2022)

Rich and Expressive Specification of Continuous-Learning Cyber-Physical Systems. - Thomas Flinkow; Barak A. Pearlmutter; Rosemary Monahan (DSN-S, 2023)

Immersive Neural Network Exploration: A VR Approach to Human-Centered AI Understanding. - Medet Inkarbekov; Barak A. Pearlmutter; Rosemary Monahan (HCAIep, 2023)

Visualization of AI Systems in Virtual Reality: A Comprehensive Review. - Medet Inkarbekov; Rosemary Monahan; Barak A. Pearlmutter (CoRR, 2023)

Comparing Differentiable Logics for Learning Systems: A Research Preview. - Thomas Flinkow; Barak A. Pearlmutter; Rosemary Monahan (FMAS@iFM, 2023)

Towards Correct-by-Construction Machine-Learnt Models. - Thomas Flinkow; Barak A. Pearlmutter; Rosemary Monahan (PhD@IFM, 2024)

Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. - Bradley T. Baker; Barak A. Pearlmutter; Robyn L. Miller; Vince D. Calhoun; Sergey M. Plis (CoRR, 2024)

Learning Exemplar Representations in Single-Trial EEG Category Decoding. - Jack Kilgallen; Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2024)

Second-Order Forward-Mode Automatic Differentiation for Optimization. - Adam D. Cobb; Atilim Günes Baydin; Barak A. Pearlmutter; Susmit Jha (CoRR, 2024)

Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey. - Mansura Habiba; Barak A. Pearlmutter; Mehrdad Maleki (CoRR, 2024)

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report. - Syed Ali Asadullah Bukhari; Thomas Flinkow; Medet Inkarbekov; Barak A. Pearlmutter; Rosemary Monahan (FMAS@iFM, 2024)

Automatic Differentiation: Inverse Accumulation Mode. - Barak A. Pearlmutter; Jeffrey Mark Siskind (CoRR, 2024)

MIND over Body: Adaptive Thinking using Dynamic Computation. - Mrinal Mathur; Barak A. Pearlmutter; Sergey M. Plis (ICLR, 2025)

Comparing differentiable logics for learning with logical constraints. - Thomas Flinkow; Barak A. Pearlmutter; Rosemary Monahan (Sci. Comput. Program., 2025)

Change of Thought: Adaptive Test-Time Computation. - Mrinal Mathur; Mike Doan; Barak A. Pearlmutter; Sergey M. Plis (CoRR, 2025)